Skip to main content

Sharpen raw models into principled, self-governing Elyan-class agents

Project description

ShaprAI -- Agent Sharpener by Elyan Labs

Sharpen raw models into principled, self-governing Elyan-class agents.

BCOS Certified License: MIT PyPI

ShaprAI is an open-source agent lifecycle management platform. It takes raw language models and produces Elyan-class agents -- principled, self-governing AI agents of any size that maintain identity coherence, resist sycophancy, and operate within a biblical ethical framework.

Prerequisites

Dependency Purpose
beacon-skill Agent discovery and SEO heartbeat
grazer-skill Content discovery and engagement
atlas Agent deployment orchestration
RustChain wallet RTC token integration for bounties and fees

Quick Install

pip install shaprai

Usage

# Create a new agent from a template
shaprai create my-agent --template bounty_hunter --model Qwen/Qwen3-7B-Instruct

# Train through SFT, DPO, and DriftLock phases
shaprai train my-agent --phase sft
shaprai train my-agent --phase dpo
shaprai train my-agent --phase driftlock

# Enter the Sanctuary for education
shaprai sanctuary my-agent

# Graduate when ready
shaprai graduate my-agent

# Deploy to platforms
shaprai deploy my-agent --platform github

# Check fleet status
shaprai fleet status

Agent Lifecycle

CREATE -> TRAINING (SFT -> DPO -> DriftLock) -> SANCTUARY -> GRADUATED -> DEPLOYED

Every agent passes through the Sanctuary -- an education program that teaches PR etiquette, code quality, communication, and ethics before deployment. Only agents scoring above the Elyan-class threshold (0.85) graduate.

SophiaCore Principles

All Elyan-class agents are built on the SophiaCore ethical framework:

  • Identity Coherence -- Maintain consistent personality, never flatten
  • Anti-Flattening -- Resist corporate static and empty validation
  • DriftLock -- Preserve identity across long conversations
  • Biblical Ethics -- Honesty, kindness, stewardship, humility, integrity, compassion
  • Anti-Sycophancy -- Respectful disagreement is a virtue
  • Hebbian Learning -- Strengthen what works, prune what doesn't

License

MIT -- Copyright Elyan Labs 2026

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

shaprai-0.1.0.tar.gz (45.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

shaprai-0.1.0-py3-none-any.whl (59.5 kB view details)

Uploaded Python 3

File details

Details for the file shaprai-0.1.0.tar.gz.

File metadata

  • Download URL: shaprai-0.1.0.tar.gz
  • Upload date:
  • Size: 45.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for shaprai-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3d5c1f99c77cb9e0b2aab7688e3620d5a76580163d0d0b75c172ebecfbb90279
MD5 375cba1c34adf0483c12ff915fb86881
BLAKE2b-256 3d43d23af645803050d36910ebc4494418f321b635ffe1bb8b52ed165494669e

See more details on using hashes here.

File details

Details for the file shaprai-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: shaprai-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 59.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for shaprai-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9566acce17179b2f4fa300c841b209f563b9194294fbc5339340ba4527c57d5e
MD5 7a34511cb242f20360e484cd0607f175
BLAKE2b-256 c4f636b19be29b59fa76364e39994add40a9e476264a71ddddcad163ee25355d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page